KPL023 - INFERENCE "SHEETS OF RAIN WEAVE SILK E.P"1. Clouds Inside2. Sheets Of Rain Weave Silk3. Static Chant4. In The TowWritten and produced by Alistair StrayCover by John FahknerAlistar Stray :Stray has been involved in many areas of experimental and electronic music for the last 20 to 25 years, as well as being a visual artist, filmmaker and animator (8mm through video to digital). 'Inference' is his techno and dub techno solo project, the first releases of which 'Reference' and... Topics: dubtechno, inference, kopoc, kpl023
We are interested in understanding the relationship between Bayesian inference and evidence theory. The concept of a set of probability distributions is central both in robust Bayesian analysis and in some versions of Dempster-Shafer’s evidence theory. We interpret imprecise probabilities as imprecise posteriors obtainable from imprecise likelihoods and priors, both of which are convex sets that can be considered as evidence and represented with, e.g., DS-structures. Likelihoods and prior are... Topics: Bayesian inference, evidence theory
This volume is a collection of five papers. Two chapters deal with problems in statistical inference, two with inferences in finite population, and one deals with demographic problem. The ideas included here will be useful for researchers doing works in these fields. Topics: statistical inference, demographic problem
The article presents a concept of Dezert-Smarandache theory application for enhancing security in tactical mobile ad- hoc network. Tactical MANET, due to its specification, requires collection and processing of information from different sources of diverse security and trust metrics. The authors specify the needs for building a node’s situational awareness and identify data sources used for calculations of trust metrics. They provide some examples of related works and present their own... Topics: situational awareness, trust, inference methods
Autif Kamal talks about the implications one may infer about factors or causes that are lacking. That inference is what negative assumptions are. Topics: Inference, Assumptions, Negative, Causes, Lacking
For the past decade, several archaeologists have advocated the development of middle-range theory as a way to give objective meaning to the archaeological record (e.g., Bettinger 1987; Binford 1977, 1983b; Thomas 1983, 1989; Torrence 1986). They argue that we must translate the static archaeological record into behaviorally dynamic terms by documenting causal linkages between relevant behaviors and their static material by-products. This is accomplished, they argue, by making observations today... Topics: Archaeology, Middle-Range Theory, Inference
The article presents a concept of Dezert-Smarandache theory application for enhancing security in tactical mobile ad-hoc network. Tactical MANET, due to its specification, requires collection and processing of information from different sources of diverse security and trust metrics. The authors specify the needs for building a node’s situational awareness and identify data sources used for calculations of trust metrics. They provide some examples of related works and present their own... Topics: situational awareness, trust, inference methods
Fuzzy classification has become very necessary because of its ability to use simple linguistically interpretable rules and has get control over the limitations of symbolic or crisp rule based classifiers. This paper mainly deals with classification on the basis of soft computing techniques Fuzzy cognitive maps and fuzzy inference system. But the data available for classification contain some missing or ambiguous data so it is better to use the Neutrosophic logic for classification. Topics: Classification, Fuzzy cognitive maps, Fuzzy inference system
This paper proposes the use of a peak tendency estimator (PTE)based on Dezert Smarandache Theory (DSmT) and fuzzy inferenceto overcome two inherent limitations of a recently proposed partialHaar dual adaptive filter (PHDAF) for sparse echo cancellation. Topics: Dezert Smarandache Theory (DSmT), fuzzy inference
Fuzzy classification is very necessary because it hasthe ability to use interpretable rules. It has got control over thelimitations of crisp rule based classifiers. This paper mainly dealswith classification on the basis of soft computing techniques fuzzycognitive maps and fuzzy inference system on the lenses dataset.The results obtained with FIS shows 100% accuracy. Sometimesthe data available for classification contain missing or ambiguousdata so Neutrosophic logic is used for classification... Topics: Classification, Fuzzy cognitive maps, Fuzzy inference system
This Logic & Reasoning workshop is about the inferences which can and cannot be made between propositions which have the same quality, but different quantity. If you know how to identify a subaltern relationship, you will be more aware of how to not make over-generalizations. Originally Aired: 11/16/12 Topics: Proposition, Subaltern, Quantity, Quality, Inference, Generalization
The concept of inference is one of the global concepts used for the explanation of cognitive processes. There exist mainly two types of characterisation: the logical and the psychological. These different characterisations are based on the difference between inference and rule of inference. Information processing systems can be formalised as inferential systems, i.e. systems with inferential processes. The fundamental concepts of this formalisation, those of dynamical inferential systems and... Topics: proposition, logical form, inference, time restriction
byPaxson, Daniel E.; Litke, Paul J.; Schauer, Frederick R.; Bradley, Royce P.; Hoke, John L
Unsteady thrust augmentation was measured on a large scale driver/ejector system. A 72 in. long, 6.5 in. diameter, 100 lb(sub f) pulsejet was tested with a series of straight, cylindrical ejectors of varying length, and diameter. A tapered ejector configuration of varying length was also tested. The objectives of the testing were to determine the dimensions of the ejectors which maximize thrust augmentation, and to compare the dimensions and augmentation levels so obtained with those of other,... Topics: BRAIN, BAYES THEOREM, NEUROPHYSIOLOGY, NEUROLOGY, MENTAL PERFORMANCE, VARIABILITY, TASKS, INFERENCE
Goal: 1) to meet science and applications user needs with respect to rapid access to MODIS data especially as related to wildfire management 2) to provide enhanced public outreach for EOS and some of the unique capabilities of MODIS Approach: 1) to develop a flexible, streamlined and rapid MODIS processing and distribution (data access) system with global coverage and value added products to augment the MODIS Standard Products 2) reuse of software, hardware and expertise (esp. COTS) 3) to... Topics: CODERS, CERTIFICATION, PROVING, INFERENCE, DOMAINS, ALGORITHMS, SAFETY, CUTTING
Conventional economic wisdom suggests that congestion pricing would be an appropriate response to cope with the growing congestion levels currently experienced at many airports. Several characteristics of aviation markets, however, may make naive congestion prices equal to the value of marginal travel delays a non-optimal response. This paper has developed a model of airport pricing that captures a number of these features. The model in particular reflects that airlines typically have market... Topics: WORLD WIDE WEB, SEMANTICS, INFERENCE, LANGUAGES, ARTIFICIAL INTELLIGENCE
byTilton, James C.; Marchisio, Giovanni; Koperski, Krzysztof; Datcu, Miha
The Hierarchical Segmentation (HSEG) algorithm is an approach for producing high quality, hierarchically related image segmentations. The VisiMine image information mining system utilizes clustering and segmentation algorithms for reducing visual information in multispectral images to a manageable size. The project discussed herein seeks to enhance the VisiMine system through incorporating hierarchical segmentations from HSEG into the VisiMine system. Topics: MATHEMATICAL LOGIC, OPTIMIZATION, MATHEMATICAL MODELS, GRAPH THEORY, INFERENCE, AXIOMS
byLevri, Julie A.; Boulanger, Richard; Hoganm John A.; Rodriquez, Lui
An On-line Technology Information System (OTIS) is currently being developed for the Advanced Life Support (ALS) Program. This paper describes the preliminary development of OTIS, which is a system designed to provide centralized collection and organization of technology information. The lack of thorough, reliable and easily understood technology information is a major obstacle in effective assessment of technology development progress, trade studies, metric calculations, and technology... Topics: SOFIA (AIRBORNE OBSERVATORY), SCHEDULES, FLIGHT PLANS, COMPUTATION, COSTS, INFERENCE
Five composite sandwich panels were fabricated using vacuum assisted resin transfer molding (VARTM). Four of these panels had E-glass/vinylester facesheets and one had carbon/epoxy facesheets. The sandwich panels had different density PVC foam cores. The four E-glass panels had core densities of 80, 100, 130, 200 kg/cu m. The sandwich with carbon/epoxy 3 facesheets had a core with density of 100 kg/cu m. Fracture tests were conducted using a modified Cracked Sandwich Beam (CSB) test... Topics: CLASSIFICATIONS, KNOWLEDGE REPRESENTATION, LANGUAGE PROGRAMMING, SYNCHRONOUS METEOROLOGICAL...
In this collection of 51 videos, MIT Teaching Assistants solve selected recitation and tutorial problems from the course 6.041SC Probabilistic Systems Analysis and Applied Probability. See the 6.041 Probabilistic Systems Analysis and Applied Probability Fall 2010 Internet Archive collection for the video lectures.View the complete course: http://ocw.mit.edu/6-041SCF13Instructors: Qing He, Jimmy Li, Jagdish Ramakrishnan, Katie Szeto, and Kuang XuLicense: Creative Commons BY-NC-SAMore information... Topics: probability, statistical inference, Bayesian probability, Markov chains, random processes,...
This paper asserts that causality is an intriguing but controversial topic in philosophy, statistics, and educational and psychological research. By supporting the Causal Markov Condition and the faithfulness condition, Clark Glymour attempted to draw causal inferences from structural equation modeling. According to Glymour, in order to make causal interpretations of no experimental data, the researcher must do some type of manipulation, rather than conditioning, of variables. The Causal Markov... Topics: ERIC Archive, Causal Models, Markov Processes, Probability, Statistical Inference, Structural...
A modified three-step Delphi procedure was used to conduct a series of national studies of futurists regarded by their peers as top experts in agricultural education. The primary objective was to project enrollments in agricultural education programs for the 21st century. Other study objectives were to ascertain whether the Delphi technique could achieve consensus among recognized futurists as to the profile of agriculture and agricultural education in the next century and to determine the... Topics: ERIC Archive, Agricultural Education, Delphi Technique, Demography, Educational Trends, Enrollment...
Exploratory factor analysis involves five key decisions. The second decision, how many factors to retain, is the focus of the current paper. Extracting too many or too few factors often leads to devastating effects on study results. The advantages and disadvantages of the most effective and/or most utilized strategies to determine the number of factors to extract will be explored. Equipped with this knowledge, researchers can thoughtfully select the best strategies rather than relying solely on... Topics: ERIC Archive, Syntax, Factor Analysis, Research Methodology, Statistical Analysis, Sampling,...
This test report presents the test data of the METSAT AMSU-A1 (Meteorological Satellite Advanced Microwave Sounding Unit) Flight Model No.2 (FM-2) receiver subsystem. The tests are performed per the Acceptance Test Procedure (ATP) for the AMSU-A Receiver Subsystem, AE-26002/6A. Topics: EXPERIMENT DESIGN, Q FACTORS, SYSTEMATIC ERRORS, DATA ACQUISITION, RISK, INFERENCE, INDEPENDENT...
In clinical trials, adaptive allocation means that the therapies assigned to the next patient or patients depend on the results obtained thus far in the trial. Although many adaptive allocation procedures have been proposed for clinical trials, few have actually used adaptive assignment, largely because classical frequentist measures of inference are difficult or impossible to calculate when the allocation is adaptive. The general problem of making inferences in classical trials, whether... Topics: ERIC Archive, Bayesian Statistics, Mathematical Models, Patients, Research Methodology, Research...
L-scaling is introduced as a technique for determining the weights in weighted averages or scaled scores for T joint observations on K variables. The technique is so named because of its formal resemblance to the Leontief matrix of mathematical economics. L-scaling is compared to several widely-used procedures for data reduction, and the discussion proceeds in terms of descriptive statistics since the various techniques have sampling properties that are either unknown or intractable. In... Topics: ERIC Archive, Comparative Analysis, Equations (Mathematics), Mathematical Models, Multivariate...
In this paper we take a critical look at PDDL 2.1 as designers and users of plan domain description languages. We describe planning domains that have features which are hard to model using PDDL 2.1. We then offer some suggestions on domain description language design, and describe how these suggestions make modeling our chosen domains easier. Topics: ELECTRONIC MAIL, LINGUISTICS, NATURAL LANGUAGE (COMPUTERS), INFERENCE, EXTRACTION, MESSAGES,...
Canonical correlation analysis is illustrated and three common fallacious interpretation practices are described. Simply, canonical correlation is an example of the bivariate case. Like all parametric methods, it involves the creation of synthetic scores for each person. It presumes at least two predictor variables and at least two criterion variables. Weights, usually labelled standardized function coefficients, are applied to each individual's data to yield the synthetic variables which are... Topics: ERIC Archive, Correlation, Multivariate Analysis, Research Problems, Statistical Bias, Statistical...
A study examined whether composition specialists can counterbalance the potential privileging of the assessment perspective, or of self-appointed interpreters of that perspective, through the study of assessment discourse as text. Fourteen assessment texts were examined, most of them journal articles and most of them featuring the common methodology of educational testers--statistical inference. Critical strategies employed were: closely examining the language in which assumptions about writing... Topics: ERIC Archive, Discourse Analysis, Higher Education, Statistical Inference, Student Evaluation,...
This paper describes the design of Compact,accurate and inexpensive Fuzzy Logic Controllers and FuzzyInference Systems which estimates the attitude of UnmannedAerial Vehicles(UAV).Attitude refers to parameters ofUnmanned Aerial Vehicle such as latitude, longitude andaltitude and angles of rotation known as pitch and roll. A SoftComputing technique called Fuzzy Logic is used to designthe Fuzzy Logic Controllers and Fuzzy Inference Systems.Visual simulation tool and Aerosim (Aeronautical... Topics: Unmanned Aerial Vehicle (UAV), Soft Computing Techniques, Fuzzy Logic (FL), Fuzzy Inference System...
The term “fuzzy logic” is rather ambiguous because it refers to problems and method that belongs to different field of investigation. it is possible to find three meaning for the expression “fuzzy logic”. In its most popular acceptation, it refers to numerical computations based on fuzzy rules, for the purpose of modeling a control low in system engineering. Interestingly, the original motivation of fuzzy logic control was to represent expert knowledge in a rule based style and to build... Topics: Fuzzy Set, Fuzzy logic, Fuzzy inference system, neural network, Fuzzy rules, Neuro fuzzy system.
The load-frequency control (LFC) is used to restore the balance between load and generation in each control area by means of speed control. The main goal of LFC is to minimize the transient deviations and steady state error to zero in advance. This paper investigated LFC using proportional integral (PI) Controller and Adaptive Neuro Fuzzy Inference System (ANFIS) for two area system. The results of the two controllers are compared using MATLAB/Simu link software package. Comparison results of... Topics: Load Frequency Control, Adaptive Neuro Fuzzy Inference System (ANFIS), PI Controller